I would like some assistance with the following probability distrution and inference for mean and population exercise

I would like detailed explanation as well

1.From a sample of 100 senior citizens, it is found that 35% oftnem have underlying conditions. Estimate the upper limit for a 90% confidence interval. Select one: A 0.6530 E 0.65?!) [3 0.4360 D- 0.423? 2.The branch manager at the Jamaica Money Market Brokers (JMMB), Haughton Terrace. Mrs. Dun McClean Would like to know the average commute of her staff. A sample of 20 employees travel an average of 30 minutes. To get a better idea of the average commute time she does a census, and the average is 50 minutes. Fifty represents a? Select one: A- Census B- Statistic C- Parameter D- Sample E- Population3.Nine hundred students registered for EconlDU in the first semester of the 2021f2022 academic year. At the end of the semester, students were asked to complete a survey outlining the number of hours per week that were spent studying. Majority of the students studied between 3 to 5 hours per week. Six students did not study at all, and 9 students studied for more than 10 hours each week. What measures would be appropriate analyze this type of data? A Variance and Standard deviation 3- Interduartile range and standard deviation (2 Mean and standard deviation D- Mean and Interquartile Range 4.An insurance company checks records on 582 accidents selected at random and notes that teenagers were at the wheel in 91 of them. If the company wants to nd the proportion of all car accidents that involve teenage drivers . which method would he most appropriate for this situation? A Sampling distribution for the mean 3- Confidence Interval [2 Sampling distribution for the proportion D Hypothesis testing 5.13. researcher would like to determine the average salary of residents in Manly Meadows Kingston. It is known that the distribution of salaries in this community is normal. [If a sample of 100 residents, the mean is found to be 85,000. If the standard deviation is known to be 13,000. lCalculate the critical value, margin of error, and conclusion for a confidence interval at the 95% confidence Interval level. A 1.960, 2548.00. We are 95% confident that the population mean monthly salary in Manly Meadows lies between [82,452.00,82,548.00] I3 1.960, 1,300.00. We are 95% confident that the sample mean monthly salary in Manly Meadows lies between [83,?00.00,85,300.00] C 1.645, 1,300.00. We are 95% confident that the population mean monthly salary in Manly Meadows lies between [83,?00.00,86,300.00] 01.545, 213.85. We are 95% confident that the sample mean monthly salary in Manly Meadows lies between [34,?aa.1s,as,213.35] E-1.645, 1,300.00. We are 95% confident that the sample mean monthly salary in Manly Meadows lies between [34,s?0.oa,ss,1so.oo] F-1.950, 254.80. We are 95% confident that the sample mean monthly salary in Manly Meadows lies between [34,145.20,ss,254.ao] {31.960, 130.00. We are 95% confident that the population mean monthly salary in Manly Meadows lies between [84,820.00,85,130.00] F-1.E45, 2158.50. We are 95% confident that the population mean monthly salary in Manly Meadows lies between [82,861.50,82,138.50]